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Abstract：
BACKGROUND: This study aimed at validating the updated DeLone and McLean\'s information systems success model (D&MISS) in a developing country\'s infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries\' the Health Information System\'s (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS\'s infectious disease pandemic readiness and response in developing countries?
METHODS: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model\'s six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported.
RESULTS: 70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05.
CONCLUSIONS: The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.
METHODS: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model\'s six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported.
RESULTS: 70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05.
CONCLUSIONS: The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.
摘要：
背景：本研究旨在在发展中国家的传染病大流行准备和应对环境中验证最新的DeLone和McLean的信息系统成功模型（D＆MISS）。这项研究的结果是相关的信息政策和行动，以提高发展中国家的卫生信息系统（HIS）的性能，特别是改善他们未来的大流行准备和反应。该研究试图回应一个关键的研究问题：D＆MISS模型在多大程度上可以提供证据来增强发展中国家HIS的传染病大流行准备和应对能力？
方法：应用了涉及多阶段概率抽样方法的横断面研究设计，以选择合格的医护人员。在尼日利亚和利比里亚进行，576名初级卫生保健工作者，在拟议的600人中，参加了，代表96%的应答率。D&MISS模型作为本研究的理论基础，在研究之前，基于模型六个维度的相互关联性，陈述了九个假设关系。使用偏最小二乘法的结构方程建模（SEM）数据分析用于确定假设关系是否得到支持。
结果：净收益结构中观察到的方差的70％由使用和用户满意度结构的预测影响解释。使用结构比用户满意度结构具有稍微更大的预测影响。九个假设的关系中有八个得到了支持，除了信息质量和使用之间的关系。系统质量和使用与用户满意度和净收益之间的关系具有最高的β系数，在p<0.05时具有统计学意义。
结论：D&MISS模型证明了它的相关性，为HIS在未来大流行准备和应对方面的差距提供了证据。然而,从未来的研究机会，加强和修改发展中国家特有的特定环境方面，将提高其提供更多特定环境证据的能力，以改善发展中国家的大流行准备和应对。
方法：应用了涉及多阶段概率抽样方法的横断面研究设计，以选择合格的医护人员。在尼日利亚和利比里亚进行，576名初级卫生保健工作者，在拟议的600人中，参加了，代表96%的应答率。D&MISS模型作为本研究的理论基础，在研究之前，基于模型六个维度的相互关联性，陈述了九个假设关系。使用偏最小二乘法的结构方程建模（SEM）数据分析用于确定假设关系是否得到支持。
结果：净收益结构中观察到的方差的70％由使用和用户满意度结构的预测影响解释。使用结构比用户满意度结构具有稍微更大的预测影响。九个假设的关系中有八个得到了支持，除了信息质量和使用之间的关系。系统质量和使用与用户满意度和净收益之间的关系具有最高的β系数，在p<0.05时具有统计学意义。
结论：D&MISS模型证明了它的相关性，为HIS在未来大流行准备和应对方面的差距提供了证据。然而,从未来的研究机会，加强和修改发展中国家特有的特定环境方面，将提高其提供更多特定环境证据的能力，以改善发展中国家的大流行准备和应对。
